Bulletin of the Computational Statistics of Japan
Online ISSN : 2189-9789
Print ISSN : 0914-8930
ISSN-L : 0914-8930
Original Papers
ANALYSIS OF FACTORS AFFECTING THE TIME TO THE FIRST CASE OF COVID-19 USING A BIMODAL REGRESSION MODEL
Masanori TakahashiMyungjin NaKoji Kurihara
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2022 Volume 35 Issue 1 Pages 1-16

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Abstract
 The first case of COVID-19 that was confirmed in Wuhan, Hubei Province China on December 31, 2019, rapidly spread worldwide. Understanding the factors that affect the time it takes for the first COVID-19 infection to be observed will help countries consider the courses of action that they should take in the early stages of the next pandemic. Vigdorovits (2020) considered a gravity model that expressed time to first case as a function of multiple socio-economic factors. Assuming that objective variables follow a Gompertz distribution, he estimated the parameters of the gravity model using accelerated failure time (AFT) survival analysis. However, the distribution of the time to the first case is a bimodal distribution. Therefore, in this study, we estimated the parameters using a bimodal regression model. Our analysis shows that in the early stage of the outbreak, the infection spread to Asian countries that are close to China and to developed countries in Europe and the United States due to the movement of people by airplane. This finding is different from those of previous studies. We have also found that after the middle period of infection, cases spread to countries with large populations in Africa and South America.
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© 2022 Japanese Society of Computational Statistics
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